Sébastien Vérel

Orcid: 0000-0003-1661-4093

Affiliations:
  • University of the Littoral Opal Coast, Calais, France


According to our database1, Sébastien Vérel authored at least 130 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Where the Really Hard Quadratic Assignment Problems Are: The QAP-SAT Instances.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2024

Sparse Surrogate Model for Optimization: Example of the Bus Stops Spacing Problem.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2024

2023
Walsh-based surrogate-assisted multi-objective combinatorial optimization: A fine-grained analysis for pseudo-boolean functions.
Appl. Soft Comput., March, 2023

MOEA/D with Adaptive Mutation Operator Based on Walsh Decomposition: Application to Nuclear Reactor Control Optimization.
Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

On the Global Structure of PUBOi Fitness Landscapes.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Pareto Local Optimal Solutions Networks with Compression, Enhanced Visualization and Expressiveness.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Fourier Transform-based Surrogates for Permutation Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Feature-Based Benchmarking of Distance-Based Multi/Many-objective Optimisation Problems: A Machine Learning Perspective.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

2022
The fractal geometry of fitness landscapes at the local optima level.
Nat. Comput., 2022

Fractal Dimension and Perturbation Strength: A Local Optima Networks View.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Cost-vs-accuracy of sampling in multi-objective combinatorial exploratory landscape analysis.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

PUBO<sub>i</sub>: A Tunable Benchmark with Variable Importance.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2022

2021
Composition of weighted finite transducers in MapReduce.
J. Big Data, 2021

Efficient parallel derivation of short distinguishing sequences for nondeterministic finite state machines using MapReduce.
J. Big Data, 2021

Short term soil moisture forecasts for potato crop farming: A machine learning approach.
Comput. Electron. Agric., 2021

Landscape features and automated algorithm selection for multi-objective interpolated continuous optimisation problems.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Paradiseo: from a modular framework for evolutionary computation to the automated design of metaheuristics: 22 years of Paradiseo.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
Landscape-Aware Performance Prediction for Evolutionary Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2020

Inferring Future Landscapes: Sampling the Local Optima Level.
Evol. Comput., 2020

Dominance, Indicator and Decomposition Based Search for Multi-objective QAP: Landscape Analysis and Automated Algorithm Selection.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

On Stochastic Fitness Landscapes: Local Optimality and Fitness Landscape Analysis for Stochastic Search Operators.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Surrogate-assisted multi-objective combinatorial optimization based on decomposition and walsh basis.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Bayesian CMA-ES: a new approach.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Surrogate-assisted asynchronous multiobjective algorithm for nuclear power plant operations.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Fitness landscape analysis to understand and predict algorithm performance for single- and multi-objective optimization.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Dynamic Compartmental Models for Large Multi-objective Landscapes and Performance Estimation.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2020

2019
BCMA-ES: A Bayesian approach to CMA-ES.
CoRR, 2019

Fitness landscapes analysis and adaptive algorithms design for traffic lights optimization on SIALAC benchmark.
Appl. Soft Comput., 2019

Dynamic compartmental models for algorithm analysis and population size estimation.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Studying com partmental models interpolation to estimate MOEAs population size.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Walsh functions as surrogate model for pseudo-boolean optimization problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

New features for continuous exploratory landscape analysis based on the SOO tree.
Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2019

Clarifying the Difference in Local Optima Network Sampling Algorithms.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2019

Approximating Pareto Set Topology by Cubic Interpolation on Bi-objective Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

Estimating Relevance of Variables for Effective Recombination.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

Combinatorial Surrogate-Assisted Optimization for Bus Stops Spacing Problem.
Proceedings of the Artificial Evolution, 2019

Automatic Calibration of a Farm Irrigation Model: A Multi-Modal Optimization Approach.
Proceedings of the Artificial Evolution, 2019

2018
An Iterated Local Search to find many solutions of the 6-states Firing Squad Synchronization Problem.
Appl. Soft Comput., 2018

Sampling Local Optima Networks of Large Combinatorial Search Spaces: The QAP Case.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

A Surrogate Model Based on Walsh Decomposition for Pseudo-Boolean Functions.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

On Pareto Local Optimal Solutions Networks.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Multifractality and dimensional determinism in local optima networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Fitness landscape analysis around the optimum in computational protein design.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Studying MOEAs dynamics and their performance using a three compartmental model.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Pareto dominance-based MOEAs on problems with difficult pareto set topologies.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Dominance, epsilon, and hypervolume local optimal sets in multi-objective optimization, and how to tell the difference.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

SIALAC benchmark: on the design of adaptive algorithms for traffic lights problems.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

A set-oriented MOEA/D.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

On the Fractal Nature of Local Optima Networks.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2018

2017
Problem Features versus Algorithm Performance on Rugged Multiobjective Combinatorial Fitness Landscapes.
Evol. Comput., 2017

Using Parallel Strategies to Speed up Pareto Local Search.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Analysis of a Batch Strategy for a Master-Worker Adaptive Selection Algorithm Framework.
Proceedings of the 9th International Joint Conference on Computational Intelligence, 2017

Learning Variable Importance to Guide Recombination on Many-Objective Optimization.
Proceedings of the 6th IIAI International Congress on Advanced Applied Informatics, 2017

Massive asynchronous master-worker EA for nuclear reactor optimization: a fitness landscape perspective.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Closed state model for understanding the dynamics of MOEAs.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Towards Landscape-Aware Automatic Algorithm Configuration: Preliminary Experiments on Neutral and Rugged Landscapes.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2017

A Fitness Landscape Analysis of Pareto Local Search on Bi-objective Permutation Flowshop Scheduling Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

A Fitness Landscape View on the Tuning of an Asynchronous Master-Worker EA for Nuclear Reactor Design.
Proceedings of the Artificial Evolution, 2017

On the Design of a Master-Worker Adaptive Algorithm Selection Framework.
Proceedings of the Artificial Evolution, 2017

2016
Learning variable importance to guide recombination.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A Fitness Cloud Model for Adaptive Metaheuristic Selection Methods.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Apport à l'analyse des paysages de fitness pour l'optimisation mono-objective et multiobjective : Science des systèmes complexes pour l'optimisation par méthodes stochastiques. (Contributions to fitness landscapes analysis for single- and multi-objective optimization : Science of complex systems for optimization with stochastic methods).
, 2016

2015
Feature Cluster on "Evolutionary multiobjective optimization".
Eur. J. Oper. Res., 2015

New Adaptive Selection Strategies for Distributed Adaptive Metaheuristic Selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Global vs Local Search on Multi-objective NK-Landscapes: Contrasting the Impact of Problem Features.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Experiments on Local Search for Bi-objective Unconstrained Binary Quadratic Programming.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

A Feature-Based Performance Analysis in Evolutionary Multiobjective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

Distributed Adaptive Metaheuristic Selection: Comparisons of Selection Strategies.
Proceedings of the Artificial Evolution, 2015

Approaches for Many-Objective Optimization: Analysis and Comparison on MNK-Landscapes.
Proceedings of the Artificial Evolution, 2015

2014
Distributed localized bi-objective search.
Eur. J. Oper. Res., 2014

Local Optima Networks: A New Model of Combinatorial Fitness Landscapes.
CoRR, 2014

A hybrid metaheuristic for multiobjective unconstrained binary quadratic programming.
Appl. Soft Comput., 2014

An Analysis of Differential Evolution Parameters on Rotated Bi-objective Optimization Functions.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Local Optimal Sets and Bounded Archiving on Multi-objective NK-Landscapes with Correlated Objectives.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

On the Impact of Multiobjective Scalarizing Functions.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

An Analysis on Selection for High-Resolution Approximations in Many-Objective Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

2013
ParadisEO-MO: from fitness landscape analysis to efficient local search algorithms.
J. Heuristics, 2013

On the structure of multiobjective combinatorial search space: MNK-landscapes with correlated objectives.
Eur. J. Oper. Res., 2013

Effects of Population Size on Selection and Scalability in Evolutionary Many-Objective Optimization.
Proceedings of the Learning and Intelligent Optimization - 7th International Conference, 2013

On set-based local search for multiobjective combinatorial optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Population size and scalability in the aeseh evolutionary many-objective algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

A study on population size and selection lapse in many-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

What Makes an Instance Difficult for Black-Box 0-1 Evolutionary Multiobjective Optimizers?
Proceedings of the Artificial Evolution, 2013

Local Optima Networks of the Permutation Flow-Shop Problem.
Proceedings of the Artificial Evolution, 2013

2012
A study of the neutrality of Boolean function landscapes in genetic programming.
Theor. Comput. Sci., 2012

Communities of Minima in Local Optima Networks of Combinatorial Spaces
CoRR, 2012

Complex-network analysis of combinatorial spaces: The NK landscape case
CoRR, 2012

Local Optima Networks, Landscape Autocorrelation and Heuristic Search Performance.
Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Local optima networks and the performance of iterated local search.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011
Local Optima Networks of NK Landscapes With Neutrality.
IEEE Trans. Evol. Comput., 2011

Analyzing the Effect of Objective Correlation on the Efficient Set of MNK-Landscapes.
Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011

On the Effect of Connectedness for Biobjective Multiple and Long Path Problems.
Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011

Clustering of Local Optima in Combinatorial Fitness Landscapes.
Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011

On the Neutrality of Flowshop Scheduling Fitness Landscapes.
Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011

Set-based multiobjective fitness landscapes: a preliminary study.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

The road to VEGAS: guiding the search over neutral networks.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

DAMS: distributed adaptive metaheuristic selection.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Pareto Local Optima of Multiobjective NK-Landscapes with Correlated Objectives.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2011

NILS: A Neutrality-Based Iterated Local Search and Its Application to Flowshop Scheduling.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2011

Local Optima Networks with Escape Edges.
Proceedings of the Artificial Evolution, 2011

2010
First-Improvement vs. Best-Improvement Local Optima Networks of NK Landscapes.
Proceedings of the Parallel Problem Solving from Nature, 2010

Local Optima Networks of the Quadratic Assignment Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Fitness landscapes and graphs: multimodularity, ruggedness and neutrality.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Centric selection: a way to tune the exploration/exploitation trade-off.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Do not choose representation just change: an experimental study in states based EA.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

NK Landscapes Difficulty and Negative Slope Coefficient: How Sampling Influences the Results.
Proceedings of the Applications of Evolutionary Computing, 2009

2008
Studying the Effects of Dual Coding on the Adaptation of Representation for Linkage in Evolutionary Algorithms.
Proceedings of the Linkage in Evolutionary Computation, 2008

A study of NK landscapes' basins and local optima networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

The Connectivity of NK Landscapes' Basins - A Network Analysis.
Proceedings of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008

2007
Fitness landscape of the cellular automata majority problem: View from the "Olympus".
Theor. Comput. Sci., 2007

How to use the Scuba Diving metaphor to solve problem with neutrality ?
CoRR, 2007

Fitness landscapes and problem hardness in evolutionary computation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

A Comprehensive View of Fitness Landscapes with Neutrality and Fitness Clouds.
Proceedings of the Genetic Programming, 10th European Conference, 2007

Density Estimation with Genetic Programming for Inverse Problem Solving.
Proceedings of the Genetic Programming, 10th European Conference, 2007

On the influence of selection operators on performances in cellular Genetic Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Evolving dynamic change and exchange of genotype encoding in genetic algorithms for difficult optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Neutralité dans les paysages de fitness. Évolution artificielle et neutralité.
Tech. Sci. Informatiques, 2006

Measuring the evolvability landscape to study neutrality.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Anisotropic selection in cellular genetic algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Deceptiveness and neutrality the ND family of fitness landscapes.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Negative Slope Coefficient: A Measure to Characterize Genetic Programming Fitness Landscapes.
Proceedings of the Genetic Programming, 9th European Conference, 2006

Neutral Fitness Landscape in the Cellular Automata Majority Problem.
Proceedings of the Cellular Automata, 2006

From Cells to Islands: An Unified Model of Cellular Parallel Genetic Algorithms.
Proceedings of the Cellular Automata, 2006

2005
Etude et Exploitation des Réseaux de Neutralité dans les Paysages Adaptatifs pour l'Optimisation Difficile. (Study and Exploitation of Neutral Networks in Fitness Landscape for Hard Optimization).
PhD thesis, 2005

2004
Fitness Clouds and Problem Hardness in Genetic Programming.
Proceedings of the Genetic and Evolutionary Computation, 2004

Local Search Heuristics: Fitness Cloud versus Fitness Landscape.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

How to Use the Scuba Diving Metaphor to Solve Problems with Neutrality?
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

Scuba search: when selection meets innovation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003
Where are bottlenecks in NK fitness landscapes?
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

From Royal Road to Epistatic Road for Variable Length Evolution Algorithm.
Proceedings of the Artificial Evolution, 2003


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